Activation of Protein Kinase Cδ by IFN-γ
Bibliographic record
Abstract
Engagement of the type II IFN (IFN-gamma) receptor results in activation of the Janus kinase-Stat pathway and induction of gene transcription via IFN-gamma-activated site (GAS) elements in the promoters of IFN-gamma-inducible genes. An important event in IFN-gamma-dependent gene transcription is phosphorylation of Stat1 on Ser(727), which is regulated by a kinase activated downstream of the phosphatidylinositol 3'-kinase. Here we provide evidence that a member of the protein kinase C (PKC) family of proteins is activated downstream of the phosphatidylinositol 3'-kinase and is engaged in IFN-gamma signaling. Our data demonstrate that PKCdelta is rapidly phosphorylated during engagement of the type II IFNR and its kinase domain is induced. Subsequently, the activated PKCdelta associates with a member of the Stat family of proteins, Stat1, which acts as a substrate for its kinase activity and undergoes phosphorylation on Ser(727). Inhibition of PKCdelta activity diminishes phosphorylation of Stat1 on Ser(727) and IFN-gamma-dependent transcriptional regulation via IFN-gamma-activated site elements, without affecting the phosphorylation of the protein on Tyr(701). Thus, PKCdelta is activated during engagement of the IFN-gamma receptor and plays an important role in IFN-gamma signaling by mediating serine phosphorylation of Stat1 and facilitating transcription of IFN-gamma-stimulated genes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".